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Snap’s GPU-Accelerated Secret to Processing 10 Petabytes a Day | NVIDIA AI Podcast Ep. 298
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What if scaling AI is no longer limitied by compute but by how everything connects? #RackScale
…via CNX-Software All latest NVIDIA Jetson platforms feature LPDDR5 memory, which itself is facing shortages due to the overwhelming demand from AI datacenters. While the newer platforms are available, prices are…
…The new series builds on the Ryzen AI Max 300 platform but significantly increases available memory capacity, targeting AI developers, workstation users, and professional workloads that require large local memory pools. Architecturally…
…That leaves older embedded platforms in an awkward position. They depend on memory that is no longer the focus of the industry, yet they still require long lifecycle guarantees that newer consumer…
NVIDIA is unveiling new details of its next-gen Rubin AI platform, which will feature Vera CPUs alongside a new Rubin CPX chip with up to 128 GB GDDR7 memory. NVIDIA Rubin…
GIGABYTE joins ASUS and ASRock with HUDIMM memory support on Intel platforms, including 600 series
This started out as an experiment. Reading Simon Willison's blog on where StrongDM was going with dark factories and Digital Twin Universeshttps://simonw.substack.com/p/how-strongdms-ai-team-build-se...I got thinking tha…
Hi HN, I built Agent OS because I was tired of the "orchestration tax" – writing the same safety checks, memory management, and tool-handling code in every AI agent project. What it does: - Visual policy edit…
Hello there HNI experimented with agentic coding recently and I felt the need to track more contextual data by project. Also I felt the need to be able to go beyond the 1D chat to communicate with agents.So I created a l…
As the title states, my build is indeed able to run a 1 trillion parameter model (in this case Kimi K2.5) locally at ~4 tokens/second. I thought r/LocalLLaMA would be interested in the build due to that stat line, and al…
…memory. Hardware is less than half the story, the bulk of AMD's engineering effort with the Ryzen AI Halo is on the software side. The company innovated a comprehensive software platform…
…It will also come with support for 1, 4, 8, 16, and 16-channel memory interleaves, and the types of memory supported by the platform will be expanded with RDIMM, 3DS RDIMM…
…Server platforms are expected to be the first major DDR6 target. That is typical for new memory standards, as server processors benefit directly from higher memory bandwidth and larger memory configurations. High…
…According to Cooler Master, the cooling architecture can reduce memory temperatures by up to 15°C compared to conventional designs. Performance specifications target both AMD and Intel platforms. The modules support AMD…
An Enticing Optimization For Linux Memory Reclaim On Today's Multi-Core Platforms Written by Michael Larabel in Linux Kernel on 26 March 2026 at 06:10 AM EDT. 6 Comments A…
…Read all comments on Silicon Power Intros DDR5-7200 CUDIMM & CSODIMM Memory Modules For AI Platforms